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Recent advances in intuitionistic fuzzy information aggregation

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Abstract

Aggregation of intuitionistic fuzzy information is a new branch of intuitionistic fuzzy set theory, which has attracted significant interest from researchers in recent years. In this paper, we provide a survey of the aggregation techniques of intuitionistic fuzzy information, and their applications in various fields, such as decision making, cluster analysis, medical diagnosis, forecasting, and manufacturing grid. In addition, we analyze their characteristics and relationships. Finally, we discuss possible directions for future research in this area.

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Authors and Affiliations

  1. School of Economics and Management, Southeast University, 210096, Nanjing, Jiangsu, China

    Zeshui Xu

  2. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, NT, Hong Kong

    Zeshui Xu & Xiaoqiang Cai

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  1. Zeshui Xu
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  2. Xiaoqiang Cai
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Correspondence to Zeshui Xu.

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Xu, Z., Cai, X. Recent advances in intuitionistic fuzzy information aggregation. Fuzzy Optim Decis Making 9, 359–381 (2010). https://doi.org/10.1007/s10700-010-9090-1

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